This repository provides a PyTorch implementation of the research paper, Deep-Emotion. Note: This implementation is not the official one described in the paper.
A CNN model developed to observe and predict lung related chronic diseases at an early stage. ResNet-50 architecture is used to classify x-ray images and Occlusion Sensitivity Function is used to ...
Image: 123RF Stock Photo How is Cellnex achieving this? Porto described four ways in which the company pursues the use of renewable energy in the telecom network infrastructure which Cellnex provides.
To this end, this paper proposes a novel end-to-end attributed graph clustering model, namely FCGCN, by integrating fuzzy clustering and graph convolution network. FCGCN is trained toward optimizing ...
Chinese hackers that gained access to U.S. telecommunications networks in a sweeping cybersecurity breach were able to use their positioning to geolocate millions of individuals and record phone ...
To overcome these shortcomings, a dynamic spatial–temporal subgraph convolutional network (DSTSGCN) is proposed for noncontact fault diagnosis. First, an edge-level dynamic graph convolutional network ...
When to Use Cloud Network Security (And When to Avoid It) Your email has been sent Is cloud network security right for you? Learn when to use it, it's benefits and drawbacks, best practices ...